Overview
Brought to you by YData
Dataset statistics
| Number of variables | 37 |
|---|---|
| Number of observations | 607 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 29 |
| Duplicate rows (%) | 4.8% |
| Total size in memory | 296.4 KiB |
| Average record size in memory | 500.1 B |
Variable types
| Categorical | 11 |
|---|---|
| Numeric | 14 |
| Boolean | 12 |
| Dataset has 29 (4.8%) duplicate rows | Duplicates |
Cost of Living Index is highly overall correlated with Cost of Living Plus Rent Index and 15 other fields | High correlation |
Cost of Living Plus Rent Index is highly overall correlated with Cost of Living Index and 16 other fields | High correlation |
Country is highly overall correlated with Cost of Living Index and 17 other fields | High correlation |
GDP is highly overall correlated with Cost of Living Index and 16 other fields | High correlation |
Local Purchasing Power Index is highly overall correlated with Cost of Living Index and 16 other fields | High correlation |
Rent Index is highly overall correlated with Cost of Living Index and 17 other fields | High correlation |
adjusted_salary is highly overall correlated with log_salary and 2 other fields | High correlation |
company_size is highly overall correlated with company_size_num and 1 other fields | High correlation |
company_size_num is highly overall correlated with company_size and 1 other fields | High correlation |
country_France is highly overall correlated with Country and 2 other fields | High correlation |
country_Germany is highly overall correlated with Country and 2 other fields | High correlation |
country_Greece is highly overall correlated with Cost of Living Index and 5 other fields | High correlation |
country_India is highly overall correlated with Cost of Living Index and 9 other fields | High correlation |
country_Japan is highly overall correlated with Country | High correlation |
country_Netherlands is highly overall correlated with Country | High correlation |
country_Other is highly overall correlated with Cost of Living Index and 7 other fields | High correlation |
country_Spain is highly overall correlated with Cost of Living Index and 5 other fields | High correlation |
country_United Kingdom is highly overall correlated with Cost of Living Plus Rent Index and 6 other fields | High correlation |
country_United States is highly overall correlated with Cost of Living Index and 11 other fields | High correlation |
exp_x_remote is highly overall correlated with experience_level and 4 other fields | High correlation |
exp_x_role is highly overall correlated with experience_level and 4 other fields | High correlation |
experience_level is highly overall correlated with exp_x_remote and 2 other fields | High correlation |
experience_numeric is highly overall correlated with exp_x_remote and 2 other fields | High correlation |
gdp_to_power_ratio is highly overall correlated with Cost of Living Index and 15 other fields | High correlation |
job_title is highly overall correlated with exp_x_role and 2 other fields | High correlation |
log_salary is highly overall correlated with Cost of Living Index and 12 other fields | High correlation |
remote_Onsite is highly overall correlated with exp_x_remote and 2 other fields | High correlation |
remote_Remote is highly overall correlated with exp_x_remote and 2 other fields | High correlation |
remote_ratio is highly overall correlated with exp_x_remote and 2 other fields | High correlation |
rent_burden_ratio is highly overall correlated with Cost of Living Index and 17 other fields | High correlation |
role_category is highly overall correlated with exp_x_role and 2 other fields | High correlation |
role_numeric is highly overall correlated with exp_x_role and 2 other fields | High correlation |
salary_in_usd is highly overall correlated with Cost of Living Index and 11 other fields | High correlation |
salary_k is highly overall correlated with Cost of Living Index and 11 other fields | High correlation |
size_x_gdp is highly overall correlated with Cost of Living Index and 14 other fields | High correlation |
work_year is highly overall correlated with gdp_to_power_ratio | High correlation |
Country is highly imbalanced (50.4%) | Imbalance |
employment_type is highly imbalanced (87.7%) | Imbalance |
country_France is highly imbalanced (83.3%) | Imbalance |
country_Germany is highly imbalanced (73.0%) | Imbalance |
country_Greece is highly imbalanced (86.9%) | Imbalance |
country_India is highly imbalanced (76.0%) | Imbalance |
country_Japan is highly imbalanced (92.0%) | Imbalance |
country_Netherlands is highly imbalanced (94.3%) | Imbalance |
country_Spain is highly imbalanced (84.2%) | Imbalance |
country_United Kingdom is highly imbalanced (60.7%) | Imbalance |
exp_x_role has 53 (8.7%) zeros | Zeros |
exp_x_remote has 127 (20.9%) zeros | Zeros |
Reproduction
| Analysis started | 2025-11-08 10:51:05.281606 |
|---|---|
| Analysis finished | 2025-11-08 10:51:25.285298 |
| Duration | 20 seconds |
| Software version | ydata-profiling vv4.17.0 |
| Download configuration | config.json |
Variables
Country
Categorical
High correlation Imbalance
| Distinct | 50 |
|---|---|
| Distinct (%) | 8.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 35.8 KiB |
| United States | |
|---|---|
| United Kingdom | |
| Canada | 30 |
| Germany | 28 |
| India | 24 |
| Other values (45) |
Length
| Max length | 25 |
|---|---|
| Median length | 13 |
| Mean length | 11.026359 |
| Min length | 4 |
Unique
| Unique | 21 ? |
|---|---|
| Unique (%) | 3.5% |
Sample
| 1st row | Germany |
|---|---|
| 2nd row | Japan |
| 3rd row | United Kingdom |
| 4th row | Honduras |
| 5th row | United States |
Common Values
| Value | Count | Frequency (%) |
| United States | 355 | |
| United Kingdom | 47 | 7.7% |
| Canada | 30 | 4.9% |
| Germany | 28 | 4.6% |
| India | 24 | 4.0% |
| France | 15 | 2.5% |
| Spain | 14 | 2.3% |
| Greece | 11 | 1.8% |
| Japan | 6 | 1.0% |
| Netherlands | 4 | 0.7% |
| Other values (40) | 73 | 12.0% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| united | 405 | |
| states | 355 | |
| kingdom | 47 | 4.6% |
| canada | 30 | 2.9% |
| germany | 28 | 2.7% |
| india | 24 | 2.3% |
| france | 15 | 1.5% |
| spain | 14 | 1.4% |
| greece | 11 | 1.1% |
| japan | 6 | 0.6% |
| Other values (49) | 90 | 8.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 1146 | |
| e | 886 | |
| a | 623 | |
| n | 604 | |
| i | 544 | |
| d | 522 | |
| 418 | 6.2% | |
| U | 406 | 6.1% |
| s | 381 | 5.7% |
| S | 375 | 5.6% |
| Other values (40) | 788 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 6693 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| t | 1146 | |
| e | 886 | |
| a | 623 | |
| n | 604 | |
| i | 544 | |
| d | 522 | |
| 418 | 6.2% | |
| U | 406 | 6.1% |
| s | 381 | 5.7% |
| S | 375 | 5.6% |
| Other values (40) | 788 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 6693 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| t | 1146 | |
| e | 886 | |
| a | 623 | |
| n | 604 | |
| i | 544 | |
| d | 522 | |
| 418 | 6.2% | |
| U | 406 | 6.1% |
| s | 381 | 5.7% |
| S | 375 | 5.6% |
| Other values (40) | 788 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 6693 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| t | 1146 | |
| e | 886 | |
| a | 623 | |
| n | 604 | |
| i | 544 | |
| d | 522 | |
| 418 | 6.2% | |
| U | 406 | 6.1% |
| s | 381 | 5.7% |
| S | 375 | 5.6% |
| Other values (40) | 788 |
work_year
Categorical
High correlation
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.5 KiB |
| 2022 | |
|---|---|
| 2021 | |
| 2020 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2020 |
|---|---|
| 2nd row | 2020 |
| 3rd row | 2020 |
| 4th row | 2020 |
| 5th row | 2020 |
Common Values
| Value | Count | Frequency (%) |
| 2022 | 318 | |
| 2021 | 217 | |
| 2020 | 72 | 11.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2022 | 318 | |
| 2021 | 217 | |
| 2020 | 72 | 11.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 1532 | |
| 0 | 679 | |
| 1 | 217 | 8.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2428 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 2 | 1532 | |
| 0 | 679 | |
| 1 | 217 | 8.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2428 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 2 | 1532 | |
| 0 | 679 | |
| 1 | 217 | 8.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2428 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 2 | 1532 | |
| 0 | 679 | |
| 1 | 217 | 8.9% |
experience_level
Categorical
High correlation
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 32.1 KiB |
| Senior | |
|---|---|
| Mid | |
| Entry | |
| Executive | 26 |
Length
| Max length | 9 |
|---|---|
| Median length | 6 |
| Mean length | 4.9308072 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Mid |
|---|---|
| 2nd row | Senior |
| 3rd row | Senior |
| 4th row | Mid |
| 5th row | Senior |
Common Values
| Value | Count | Frequency (%) |
| Senior | 280 | |
| Mid | 213 | |
| Entry | 88 | 14.5% |
| Executive | 26 | 4.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| senior | 280 | |
| mid | 213 | |
| entry | 88 | 14.5% |
| executive | 26 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 519 | |
| r | 368 | |
| n | 368 | |
| e | 332 | |
| S | 280 | |
| o | 280 | |
| M | 213 | |
| d | 213 | |
| E | 114 | 3.8% |
| t | 114 | 3.8% |
| Other values (5) | 192 | 6.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2993 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| i | 519 | |
| r | 368 | |
| n | 368 | |
| e | 332 | |
| S | 280 | |
| o | 280 | |
| M | 213 | |
| d | 213 | |
| E | 114 | 3.8% |
| t | 114 | 3.8% |
| Other values (5) | 192 | 6.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2993 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| i | 519 | |
| r | 368 | |
| n | 368 | |
| e | 332 | |
| S | 280 | |
| o | 280 | |
| M | 213 | |
| d | 213 | |
| E | 114 | 3.8% |
| t | 114 | 3.8% |
| Other values (5) | 192 | 6.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2993 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| i | 519 | |
| r | 368 | |
| n | 368 | |
| e | 332 | |
| S | 280 | |
| o | 280 | |
| M | 213 | |
| d | 213 | |
| E | 114 | 3.8% |
| t | 114 | 3.8% |
| Other values (5) | 192 | 6.4% |
employment_type
Categorical
Imbalance
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 30.4 KiB |
| FT | |
|---|---|
| PT | 10 |
| CT | 5 |
| FL | 4 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | FT |
|---|---|
| 2nd row | FT |
| 3rd row | FT |
| 4th row | FT |
| 5th row | FT |
Common Values
| Value | Count | Frequency (%) |
| FT | 588 | |
| PT | 10 | 1.6% |
| CT | 5 | 0.8% |
| FL | 4 | 0.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| ft | 588 | |
| pt | 10 | 1.6% |
| ct | 5 | 0.8% |
| fl | 4 | 0.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| T | 603 | |
| F | 592 | |
| P | 10 | 0.8% |
| C | 5 | 0.4% |
| L | 4 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1214 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| T | 603 | |
| F | 592 | |
| P | 10 | 0.8% |
| C | 5 | 0.4% |
| L | 4 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1214 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| T | 603 | |
| F | 592 | |
| P | 10 | 0.8% |
| C | 5 | 0.4% |
| L | 4 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1214 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| T | 603 | |
| F | 592 | |
| P | 10 | 0.8% |
| C | 5 | 0.4% |
| L | 4 | 0.3% |
job_title
Categorical
High correlation
| Distinct | 50 |
|---|---|
| Distinct (%) | 8.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 38.8 KiB |
| Data Scientist | |
|---|---|
| Data Engineer | |
| Data Analyst | |
| Machine Learning Engineer | |
| Research Scientist | 16 |
| Other values (45) |
Length
| Max length | 40 |
|---|---|
| Median length | 33 |
| Mean length | 16.258649 |
| Min length | 11 |
Unique
| Unique | 11 ? |
|---|---|
| Unique (%) | 1.8% |
Sample
| 1st row | Data Scientist |
|---|---|
| 2nd row | Machine Learning Scientist |
| 3rd row | Big Data Engineer |
| 4th row | Product Data Analyst |
| 5th row | Machine Learning Engineer |
Common Values
| Value | Count | Frequency (%) |
| Data Scientist | 143 | |
| Data Engineer | 132 | |
| Data Analyst | 97 | |
| Machine Learning Engineer | 41 | 6.8% |
| Research Scientist | 16 | 2.6% |
| Data Science Manager | 12 | 2.0% |
| Data Architect | 11 | 1.8% |
| Machine Learning Scientist | 8 | 1.3% |
| Big Data Engineer | 8 | 1.3% |
| Director of Data Science | 7 | 1.2% |
| Other values (40) | 132 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| data | 499 | |
| engineer | 223 | |
| scientist | 194 | 13.6% |
| analyst | 119 | 8.3% |
| machine | 62 | 4.3% |
| learning | 62 | 4.3% |
| science | 33 | 2.3% |
| manager | 25 | 1.8% |
| of | 19 | 1.3% |
| research | 16 | 1.1% |
| Other values (30) | 175 | 12.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1381 | |
| t | 1093 | |
| n | 1091 | |
| e | 997 | |
| i | 894 | |
| 820 | ||
| D | 514 | 5.2% |
| c | 409 | 4.1% |
| r | 407 | 4.1% |
| s | 382 | 3.9% |
| Other values (29) | 1881 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 9869 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 1381 | |
| t | 1093 | |
| n | 1091 | |
| e | 997 | |
| i | 894 | |
| 820 | ||
| D | 514 | 5.2% |
| c | 409 | 4.1% |
| r | 407 | 4.1% |
| s | 382 | 3.9% |
| Other values (29) | 1881 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 9869 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 1381 | |
| t | 1093 | |
| n | 1091 | |
| e | 997 | |
| i | 894 | |
| 820 | ||
| D | 514 | 5.2% |
| c | 409 | 4.1% |
| r | 407 | 4.1% |
| s | 382 | 3.9% |
| Other values (29) | 1881 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 9869 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 1381 | |
| t | 1093 | |
| n | 1091 | |
| e | 997 | |
| i | 894 | |
| 820 | ||
| D | 514 | 5.2% |
| c | 409 | 4.1% |
| r | 407 | 4.1% |
| s | 382 | 3.9% |
| Other values (29) | 1881 |
salary_in_usd
Real number (ℝ)
High correlation
| Distinct | 369 |
|---|---|
| Distinct (%) | 60.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 112297.87 |
| Minimum | 2859 |
|---|---|
| Maximum | 600000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 2859 |
|---|---|
| 5-th percentile | 20000 |
| Q1 | 62726 |
| median | 101570 |
| Q3 | 150000 |
| 95-th percentile | 220110 |
| Maximum | 600000 |
| Range | 597141 |
| Interquartile range (IQR) | 87274 |
Descriptive statistics
| Standard deviation | 70957.259 |
|---|---|
| Coefficient of variation (CV) | 0.63186648 |
| Kurtosis | 6.3537947 |
| Mean | 112297.87 |
| Median Absolute Deviation (MAD) | 42430 |
| Skewness | 1.667545 |
| Sum | 68164807 |
| Variance | 5.0349327 × 109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100000 | 15 | 2.5% |
| 120000 | 12 | 2.0% |
| 150000 | 12 | 2.0% |
| 200000 | 10 | 1.6% |
| 135000 | 9 | 1.5% |
| 170000 | 8 | 1.3% |
| 140000 | 8 | 1.3% |
| 80000 | 8 | 1.3% |
| 130000 | 8 | 1.3% |
| 160000 | 8 | 1.3% |
| Other values (359) | 509 |
| Value | Count | Frequency (%) |
| 2859 | 1 | |
| 4000 | 2 | |
| 5409 | 1 | |
| 5679 | 1 | |
| 5707 | 1 | |
| 5882 | 1 | |
| 6072 | 2 | |
| 8000 | 1 | |
| 9272 | 1 | |
| 9466 | 1 |
| Value | Count | Frequency (%) |
| 600000 | 1 | |
| 450000 | 2 | |
| 423000 | 1 | |
| 416000 | 1 | |
| 412000 | 1 | |
| 405000 | 1 | |
| 380000 | 1 | |
| 325000 | 1 | |
| 324000 | 1 | |
| 276000 | 1 |
remote_ratio
Categorical
High correlation
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 30.6 KiB |
| 100 | |
|---|---|
| 0 | |
| 50 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.4184514 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 50 |
| 4th row | 0 |
| 5th row | 50 |
Common Values
| Value | Count | Frequency (%) |
| 100 | 381 | |
| 0 | 127 | 20.9% |
| 50 | 99 | 16.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 100 | 381 | |
| 0 | 127 | 20.9% |
| 50 | 99 | 16.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 988 | |
| 1 | 381 | 26.0% |
| 5 | 99 | 6.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1468 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 988 | |
| 1 | 381 | 26.0% |
| 5 | 99 | 6.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1468 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 988 | |
| 1 | 381 | 26.0% |
| 5 | 99 | 6.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1468 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 988 | |
| 1 | 381 | 26.0% |
| 5 | 99 | 6.7% |
company_size
Categorical
High correlation
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 29.8 KiB |
| M | |
|---|---|
| L | |
| S |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | L |
|---|---|
| 2nd row | S |
| 3rd row | M |
| 4th row | S |
| 5th row | L |
Common Values
| Value | Count | Frequency (%) |
| M | 326 | |
| L | 198 | |
| S | 83 | 13.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| m | 326 | |
| l | 198 | |
| s | 83 | 13.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| M | 326 | |
| L | 198 | |
| S | 83 | 13.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| M | 326 | |
| L | 198 | |
| S | 83 | 13.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| M | 326 | |
| L | 198 | |
| S | 83 | 13.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| M | 326 | |
| L | 198 | |
| S | 83 | 13.7% |
Cost of Living Index
Real number (ℝ)
High correlation
| Distinct | 41 |
|---|---|
| Distinct (%) | 6.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 63.606218 |
| Minimum | 18.8 |
|---|---|
| Maximum | 101.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 18.8 |
|---|---|
| 5-th percentile | 29.51 |
| Q1 | 62.2 |
| median | 70.4 |
| Q3 | 70.4 |
| 95-th percentile | 70.4 |
| Maximum | 101.1 |
| Range | 82.3 |
| Interquartile range (IQR) | 8.2 |
Descriptive statistics
| Standard deviation | 12.782832 |
|---|---|
| Coefficient of variation (CV) | 0.20096828 |
| Kurtosis | 4.2730822 |
| Mean | 63.606218 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.1051366 |
| Sum | 38608.975 |
| Variance | 163.4008 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 70.4 | 355 | |
| 62 | 47 | 7.7% |
| 64.8 | 30 | 4.9% |
| 62.2 | 28 | 4.6% |
| 21.2 | 24 | 4.0% |
| 63.7 | 15 | 2.5% |
| 47.3 | 14 | 2.3% |
| 63.60621849 | 12 | 2.0% |
| 52 | 12 | 2.0% |
| 46.1 | 6 | 1.0% |
| Other values (31) | 64 | 10.5% |
| Value | Count | Frequency (%) |
| 18.8 | 3 | 0.5% |
| 21.2 | 24 | |
| 25.9 | 1 | 0.2% |
| 28.8 | 1 | 0.2% |
| 28.9 | 1 | 0.2% |
| 29.3 | 1 | 0.2% |
| 30 | 1 | 0.2% |
| 30.2 | 4 | 0.7% |
| 31.4 | 2 | 0.3% |
| 31.7 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 101.1 | 2 | 0.3% |
| 76.7 | 1 | 0.2% |
| 72.3 | 3 | 0.5% |
| 70.4 | 355 | |
| 70.2 | 3 | 0.5% |
| 65.1 | 4 | 0.7% |
| 64.8 | 30 | 4.9% |
| 64.6 | 1 | 0.2% |
| 64.4 | 1 | 0.2% |
| 63.7 | 15 | 2.5% |
Rent Index
Real number (ℝ)
High correlation
| Distinct | 42 |
|---|---|
| Distinct (%) | 6.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.282185 |
| Minimum | 2.8 |
|---|---|
| Maximum | 67.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 2.8 |
|---|---|
| 5-th percentile | 7.76 |
| Q1 | 31.1 |
| median | 41.7 |
| Q3 | 41.7 |
| 95-th percentile | 41.7 |
| Maximum | 67.2 |
| Range | 64.4 |
| Interquartile range (IQR) | 10.6 |
Descriptive statistics
| Standard deviation | 11.08575 |
|---|---|
| Coefficient of variation (CV) | 0.32336765 |
| Kurtosis | 0.68638655 |
| Mean | 34.282185 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.2742972 |
| Sum | 20809.286 |
| Variance | 122.89385 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 41.7 | 355 | |
| 31.1 | 47 | 7.7% |
| 33.2 | 30 | 4.9% |
| 24.4 | 28 | 4.6% |
| 5.6 | 24 | 4.0% |
| 21 | 15 | 2.5% |
| 22.9 | 14 | 2.3% |
| 34.28218487 | 12 | 2.0% |
| 12.9 | 11 | 1.8% |
| 13.4 | 6 | 1.0% |
| Other values (32) | 65 | 10.7% |
| Value | Count | Frequency (%) |
| 2.8 | 3 | 0.5% |
| 3.8 | 1 | 0.2% |
| 5.6 | 24 | |
| 7.6 | 2 | 0.3% |
| 7.7 | 1 | 0.2% |
| 7.9 | 3 | 0.5% |
| 8.5 | 1 | 0.2% |
| 8.6 | 1 | 0.2% |
| 9.9 | 1 | 0.2% |
| 11.1 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 67.2 | 1 | 0.2% |
| 46.5 | 2 | 0.3% |
| 42.3 | 1 | 0.2% |
| 41.7 | 355 | |
| 41.3 | 3 | 0.5% |
| 40.5 | 3 | 0.5% |
| 34.28218487 | 12 | 2.0% |
| 33.5 | 4 | 0.7% |
| 33.4 | 3 | 0.5% |
| 33.2 | 30 | 4.9% |
Local Purchasing Power Index
Real number (ℝ)
High correlation
| Distinct | 42 |
|---|---|
| Distinct (%) | 6.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 124.58891 |
| Minimum | 11 |
|---|---|
| Maximum | 182.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 56.9 |
| Q1 | 115.2 |
| median | 142.3 |
| Q3 | 142.3 |
| 95-th percentile | 142.3 |
| Maximum | 182.5 |
| Range | 171.5 |
| Interquartile range (IQR) | 27.1 |
Descriptive statistics
| Standard deviation | 27.571411 |
|---|---|
| Coefficient of variation (CV) | 0.22129908 |
| Kurtosis | 2.3216158 |
| Mean | 124.58891 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.5925849 |
| Sum | 75625.467 |
| Variance | 760.18272 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 142.3 | 355 | |
| 115.2 | 47 | 7.7% |
| 103.7 | 30 | 4.9% |
| 120.2 | 28 | 4.6% |
| 82.6 | 24 | 4.0% |
| 102.4 | 19 | 3.1% |
| 92.1 | 14 | 2.3% |
| 124.5889076 | 12 | 2.0% |
| 53 | 11 | 1.8% |
| 117 | 6 | 1.0% |
| Other values (32) | 61 | 10.0% |
| Value | Count | Frequency (%) |
| 11 | 2 | |
| 29.1 | 3 | |
| 29.9 | 1 | 0.2% |
| 33.7 | 1 | 0.2% |
| 34.2 | 1 | 0.2% |
| 37.2 | 3 | |
| 39.5 | 1 | 0.2% |
| 45.1 | 1 | 0.2% |
| 45.4 | 3 | |
| 50.4 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 182.5 | 3 | 0.5% |
| 158.7 | 2 | 0.3% |
| 142.3 | 355 | |
| 127.9 | 3 | 0.5% |
| 127.4 | 3 | 0.5% |
| 127.2 | 3 | 0.5% |
| 124.9 | 4 | 0.7% |
| 124.5889076 | 12 | 2.0% |
| 121 | 1 | 0.2% |
| 120.2 | 28 | 4.6% |
Cost of Living Plus Rent Index
Real number (ℝ)
High correlation
| Distinct | 42 |
|---|---|
| Distinct (%) | 6.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.507227 |
| Minimum | 11.1 |
|---|---|
| Maximum | 74.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 11.1 |
|---|---|
| 5-th percentile | 19.16 |
| Q1 | 47.1 |
| median | 56.6 |
| Q3 | 56.6 |
| 95-th percentile | 56.6 |
| Maximum | 74.9 |
| Range | 63.8 |
| Interquartile range (IQR) | 9.5 |
Descriptive statistics
| Standard deviation | 11.670647 |
|---|---|
| Coefficient of variation (CV) | 0.23573622 |
| Kurtosis | 2.5962063 |
| Mean | 49.507227 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.7661104 |
| Sum | 30050.887 |
| Variance | 136.20399 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 56.6 | 355 | |
| 47.1 | 47 | 7.7% |
| 49.6 | 30 | 4.9% |
| 44 | 28 | 4.6% |
| 13.7 | 24 | 4.0% |
| 43.2 | 15 | 2.5% |
| 35.6 | 14 | 2.3% |
| 49.50722689 | 12 | 2.0% |
| 33.2 | 11 | 1.8% |
| 48.9 | 7 | 1.2% |
| Other values (32) | 64 | 10.5% |
| Value | Count | Frequency (%) |
| 11.1 | 3 | 0.5% |
| 13.7 | 24 | |
| 16.9 | 1 | 0.2% |
| 17.1 | 1 | 0.2% |
| 18.9 | 1 | 0.2% |
| 19.1 | 1 | 0.2% |
| 19.3 | 1 | 0.2% |
| 19.5 | 3 | 0.5% |
| 19.8 | 1 | 0.2% |
| 22.4 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 74.9 | 2 | 0.3% |
| 72.1 | 1 | 0.2% |
| 56.6 | 355 | |
| 53.8 | 1 | 0.2% |
| 52.5 | 3 | 0.5% |
| 51.9 | 3 | 0.5% |
| 50.2 | 3 | 0.5% |
| 49.6 | 30 | 4.9% |
| 49.50722689 | 12 | 2.0% |
| 48.9 | 7 | 1.2% |
GDP
Real number (ℝ)
High correlation
| Distinct | 85 |
|---|---|
| Distinct (%) | 14.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59686.296 |
| Minimum | 1278.3974 |
|---|---|
| Maximum | 134965.82 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 1278.3974 |
|---|---|
| 5-th percentile | 2754.4719 |
| Q1 | 46926.476 |
| median | 71307.402 |
| Q3 | 77860.911 |
| 95-th percentile | 77860.911 |
| Maximum | 134965.82 |
| Range | 133687.42 |
| Interquartile range (IQR) | 30934.436 |
Descriptive statistics
| Standard deviation | 23330.865 |
|---|---|
| Coefficient of variation (CV) | 0.39089148 |
| Kurtosis | 0.52156789 |
| Mean | 59686.296 |
| Median Absolute Deviation (MAD) | 6553.5096 |
| Skewness | -1.0306373 |
| Sum | 36229582 |
| Variance | 5.4432924 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 77860.91129 | 226 | |
| 71307.40173 | 99 | |
| 64401.50744 | 30 | 4.9% |
| 46062.99141 | 29 | 4.8% |
| 56256.80073 | 18 | 3.0% |
| 2239.613844 | 16 | 2.6% |
| 52265.65416 | 16 | 2.6% |
| 46926.47574 | 14 | 2.3% |
| 52886.66164 | 11 | 1.8% |
| 20971.83493 | 9 | 1.5% |
| Other values (75) | 139 |
| Value | Count | Frequency (%) |
| 1278.397352 | 1 | 0.2% |
| 1455.319224 | 1 | 0.2% |
| 1538.322813 | 1 | 0.2% |
| 1907.042516 | 4 | 0.7% |
| 2017.274865 | 1 | 0.2% |
| 2019.657063 | 1 | 0.2% |
| 2061.356221 | 1 | 0.2% |
| 2239.613844 | 16 | |
| 2307.614943 | 1 | 0.2% |
| 2347.448294 | 4 | 0.7% |
| Value | Count | Frequency (%) |
| 134965.8154 | 1 | 0.2% |
| 123719.6589 | 1 | 0.2% |
| 116860.0282 | 1 | 0.2% |
| 105234.5116 | 1 | 0.2% |
| 94394.51068 | 1 | 0.2% |
| 93664.77367 | 1 | 0.2% |
| 80056.12882 | 1 | 0.2% |
| 77860.91129 | 226 | |
| 71307.40173 | 99 | |
| 69727.98737 | 2 | 0.3% |
log_salary
Real number (ℝ)
High correlation
| Distinct | 369 |
|---|---|
| Distinct (%) | 60.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.397414 |
| Minimum | 7.9585769 |
|---|---|
| Maximum | 13.304687 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 7.9585769 |
|---|---|
| 5-th percentile | 9.9035376 |
| Q1 | 11.046547 |
| median | 11.528513 |
| Q3 | 11.918397 |
| 95-th percentile | 12.301887 |
| Maximum | 13.304687 |
| Range | 5.3461097 |
| Interquartile range (IQR) | 0.87184998 |
Descriptive statistics
| Standard deviation | 0.77412266 |
|---|---|
| Coefficient of variation (CV) | 0.067920903 |
| Kurtosis | 2.4767323 |
| Mean | 11.397414 |
| Median Absolute Deviation (MAD) | 0.42267351 |
| Skewness | -1.2609005 |
| Sum | 6918.2304 |
| Variance | 0.59926589 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11.51293546 | 15 | 2.5% |
| 11.69525536 | 12 | 2.0% |
| 11.91839724 | 12 | 2.0% |
| 12.20607765 | 10 | 1.6% |
| 11.81303746 | 9 | 1.5% |
| 12.0435596 | 8 | 1.3% |
| 11.84940484 | 8 | 1.3% |
| 11.28979441 | 8 | 1.3% |
| 11.77529742 | 8 | 1.3% |
| 11.98293534 | 8 | 1.3% |
| Other values (359) | 509 |
| Value | Count | Frequency (%) |
| 7.958576904 | 1 | |
| 8.294299609 | 2 | |
| 8.596004372 | 1 | |
| 8.644706512 | 1 | |
| 8.649623979 | 1 | |
| 8.679822115 | 1 | |
| 8.711607996 | 2 | |
| 8.987321813 | 1 | |
| 9.134862231 | 1 | |
| 9.155567346 | 1 |
| Value | Count | Frequency (%) |
| 13.3046866 | 1 | |
| 13.01700508 | 2 | |
| 12.95512982 | 1 | |
| 12.93844294 | 1 | |
| 12.92878106 | 1 | |
| 12.91164482 | 1 | |
| 12.84792916 | 1 | |
| 12.69158354 | 1 | |
| 12.68850188 | 1 | |
| 12.52815977 | 1 |
experience_numeric
Categorical
High correlation
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 29.8 KiB |
| 3 | |
|---|---|
| 2 | |
| 1 | |
| 4 | 26 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 280 | |
| 2 | 213 | |
| 1 | 88 | 14.5% |
| 4 | 26 | 4.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 3 | 280 | |
| 2 | 213 | |
| 1 | 88 | 14.5% |
| 4 | 26 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 280 | |
| 2 | 213 | |
| 1 | 88 | 14.5% |
| 4 | 26 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 280 | |
| 2 | 213 | |
| 1 | 88 | 14.5% |
| 4 | 26 | 4.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 280 | |
| 2 | 213 | |
| 1 | 88 | 14.5% |
| 4 | 26 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 280 | |
| 2 | 213 | |
| 1 | 88 | 14.5% |
| 4 | 26 | 4.3% |
salary_k
Real number (ℝ)
High correlation
| Distinct | 346 |
|---|---|
| Distinct (%) | 57.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 112.29736 |
| Minimum | 2.9 |
|---|---|
| Maximum | 600 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 2.9 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 62.7 |
| median | 101.6 |
| Q3 | 150 |
| 95-th percentile | 220.1 |
| Maximum | 600 |
| Range | 597.1 |
| Interquartile range (IQR) | 87.3 |
Descriptive statistics
| Standard deviation | 70.957005 |
|---|---|
| Coefficient of variation (CV) | 0.63186706 |
| Kurtosis | 6.3539013 |
| Mean | 112.29736 |
| Median Absolute Deviation (MAD) | 42.4 |
| Skewness | 1.6676019 |
| Sum | 68164.5 |
| Variance | 5034.8966 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100 | 15 | 2.5% |
| 120 | 12 | 2.0% |
| 150 | 12 | 2.0% |
| 200 | 10 | 1.6% |
| 135 | 9 | 1.5% |
| 130 | 9 | 1.5% |
| 170 | 8 | 1.3% |
| 80 | 8 | 1.3% |
| 160 | 8 | 1.3% |
| 140 | 8 | 1.3% |
| Other values (336) | 508 |
| Value | Count | Frequency (%) |
| 2.9 | 1 | |
| 4 | 2 | |
| 5.4 | 1 | |
| 5.7 | 2 | |
| 5.9 | 1 | |
| 6.1 | 2 | |
| 8 | 1 | |
| 9.3 | 1 | |
| 9.5 | 1 | |
| 10 | 2 |
| Value | Count | Frequency (%) |
| 600 | 1 | |
| 450 | 2 | |
| 423 | 1 | |
| 416 | 1 | |
| 412 | 1 | |
| 405 | 1 | |
| 380 | 1 | |
| 325 | 1 | |
| 324 | 1 | |
| 276 | 1 |
adjusted_salary
Real number (ℝ)
High correlation
| Distinct | 412 |
|---|---|
| Distinct (%) | 67.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1720.2873 |
| Minimum | 58.18 |
|---|---|
| Maximum | 8522.73 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 58.18 |
|---|---|
| 5-th percentile | 431.171 |
| Q1 | 1060.35 |
| median | 1562.5 |
| Q3 | 2158.365 |
| 95-th percentile | 3338.07 |
| Maximum | 8522.73 |
| Range | 8464.55 |
| Interquartile range (IQR) | 1098.015 |
Descriptive statistics
| Standard deviation | 988.69483 |
|---|---|
| Coefficient of variation (CV) | 0.57472656 |
| Kurtosis | 6.6631624 |
| Mean | 1720.2873 |
| Median Absolute Deviation (MAD) | 557.28 |
| Skewness | 1.7780899 |
| Sum | 1044214.4 |
| Variance | 977517.46 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1420.45 | 12 | 2.0% |
| 1704.55 | 11 | 1.8% |
| 2130.68 | 11 | 1.8% |
| 2840.91 | 10 | 1.6% |
| 1917.61 | 9 | 1.5% |
| 2414.77 | 8 | 1.3% |
| 1988.64 | 8 | 1.3% |
| 2272.73 | 8 | 1.3% |
| 1136.36 | 8 | 1.3% |
| 1278.41 | 6 | 1.0% |
| Other values (402) | 516 |
| Value | Count | Frequency (%) |
| 58.18 | 1 | |
| 62.89 | 2 | |
| 71.12 | 1 | |
| 80.67 | 1 | |
| 160.26 | 1 | |
| 170.45 | 2 | |
| 190.28 | 1 | |
| 218.9 | 1 | |
| 255.14 | 1 | |
| 256.69 | 1 |
| Value | Count | Frequency (%) |
| 8522.73 | 1 | |
| 6392.05 | 2 | |
| 6008.52 | 1 | |
| 5909.09 | 1 | |
| 5852.27 | 1 | |
| 5752.84 | 1 | |
| 5639.91 | 1 | |
| 5397.73 | 1 | |
| 4616.48 | 1 | |
| 4602.27 | 1 |
rent_burden_ratio
Real number (ℝ)
High correlation
| Distinct | 41 |
|---|---|
| Distinct (%) | 6.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.66952718 |
| Minimum | 0.225 |
|---|---|
| Maximum | 0.932 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 0.225 |
|---|---|
| 5-th percentile | 0.409 |
| Q1 | 0.66 |
| median | 0.737 |
| Q3 | 0.737 |
| 95-th percentile | 0.737 |
| Maximum | 0.932 |
| Range | 0.707 |
| Interquartile range (IQR) | 0.077 |
Descriptive statistics
| Standard deviation | 0.11171403 |
|---|---|
| Coefficient of variation (CV) | 0.16685511 |
| Kurtosis | 1.5265627 |
| Mean | 0.66952718 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.5349706 |
| Sum | 406.403 |
| Variance | 0.012480025 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 0.737 | 355 | |
| 0.66 | 47 | 7.7% |
| 0.669 | 30 | 4.9% |
| 0.555 | 28 | 4.6% |
| 0.409 | 25 | 4.1% |
| 0.486 | 17 | 2.8% |
| 0.643 | 14 | 2.3% |
| 0.692 | 12 | 2.0% |
| 0.389 | 11 | 1.8% |
| 0.441 | 6 | 1.0% |
| Other values (31) | 62 | 10.2% |
| Value | Count | Frequency (%) |
| 0.225 | 1 | 0.2% |
| 0.252 | 3 | 0.5% |
| 0.389 | 11 | |
| 0.399 | 1 | 0.2% |
| 0.402 | 1 | 0.2% |
| 0.405 | 3 | 0.5% |
| 0.409 | 25 | |
| 0.417 | 1 | 0.2% |
| 0.429 | 1 | 0.2% |
| 0.432 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0.932 | 1 | 0.2% |
| 0.845 | 3 | 0.5% |
| 0.819 | 2 | 0.3% |
| 0.786 | 1 | 0.2% |
| 0.78 | 3 | 0.5% |
| 0.737 | 355 | |
| 0.692 | 12 | 2.0% |
| 0.686 | 4 | 0.7% |
| 0.685 | 4 | 0.7% |
| 0.669 | 30 | 4.9% |
gdp_to_power_ratio
Real number (ℝ)
High correlation
| Distinct | 85 |
|---|---|
| Distinct (%) | 14.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 457.86053 |
| Minimum | 18.522 |
|---|---|
| Maximum | 1040.895 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 18.522 |
|---|---|
| 5-th percentile | 97.5363 |
| Q1 | 407.348 |
| median | 501.106 |
| Q3 | 547.16 |
| 95-th percentile | 547.16 |
| Maximum | 1040.895 |
| Range | 1022.373 |
| Interquartile range (IQR) | 139.812 |
Descriptive statistics
| Standard deviation | 135.25882 |
|---|---|
| Coefficient of variation (CV) | 0.2954149 |
| Kurtosis | 3.6453773 |
| Mean | 457.86053 |
| Median Absolute Deviation (MAD) | 46.054 |
| Skewness | -1.7192617 |
| Sum | 277921.34 |
| Variance | 18294.949 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 547.16 | 226 | |
| 501.106 | 99 | |
| 452.576 | 30 | 4.9% |
| 399.852 | 29 | 4.8% |
| 542.496 | 18 | 3.0% |
| 27.114 | 16 | 2.6% |
| 434.822 | 16 | 2.6% |
| 407.348 | 14 | 2.3% |
| 509.997 | 11 | 1.8% |
| 395.695 | 9 | 1.5% |
| Other values (75) | 139 |
| Value | Count | Frequency (%) |
| 18.522 | 1 | 0.2% |
| 23.088 | 4 | 0.7% |
| 27.114 | 16 | |
| 28.419 | 4 | 0.7% |
| 29.731 | 1 | 0.2% |
| 43.931 | 1 | 0.2% |
| 50.011 | 1 | 0.2% |
| 52.863 | 1 | 0.2% |
| 60.274 | 1 | 0.2% |
| 96.597 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 1040.895 | 1 | 0.2% |
| 739.539 | 1 | 0.2% |
| 720.577 | 1 | 0.2% |
| 677.916 | 1 | 0.2% |
| 640.329 | 1 | 0.2% |
| 594.798 | 1 | 0.2% |
| 590.2 | 1 | 0.2% |
| 558.963 | 1 | 0.2% |
| 548.176 | 2 | 0.3% |
| 547.16 | 226 |
role_category
Categorical
High correlation
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.0 KiB |
| AI | |
|---|---|
| Engineering | |
| Analytics | |
| Other | |
| Management | 12 |
Length
| Max length | 11 |
|---|---|
| Median length | 10 |
| Mean length | 6.5271829 |
| Min length | 2 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | AI |
|---|---|
| 2nd row | AI |
| 3rd row | Engineering |
| 4th row | Analytics |
| 5th row | AI |
Common Values
| Value | Count | Frequency (%) |
| AI | 235 | |
| Engineering | 172 | |
| Analytics | 135 | |
| Other | 53 | 8.7% |
| Management | 12 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| ai | 235 | |
| engineering | 172 | |
| analytics | 135 | |
| other | 53 | 8.7% |
| management | 12 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 675 | |
| i | 479 | |
| e | 421 | |
| A | 370 | |
| g | 356 | |
| I | 235 | 5.9% |
| r | 225 | 5.7% |
| t | 200 | 5.0% |
| E | 172 | 4.3% |
| a | 159 | 4.0% |
| Other values (8) | 670 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 3962 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| n | 675 | |
| i | 479 | |
| e | 421 | |
| A | 370 | |
| g | 356 | |
| I | 235 | 5.9% |
| r | 225 | 5.7% |
| t | 200 | 5.0% |
| E | 172 | 4.3% |
| a | 159 | 4.0% |
| Other values (8) | 670 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 3962 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| n | 675 | |
| i | 479 | |
| e | 421 | |
| A | 370 | |
| g | 356 | |
| I | 235 | 5.9% |
| r | 225 | 5.7% |
| t | 200 | 5.0% |
| E | 172 | 4.3% |
| a | 159 | 4.0% |
| Other values (8) | 670 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 3962 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| n | 675 | |
| i | 479 | |
| e | 421 | |
| A | 370 | |
| g | 356 | |
| I | 235 | 5.9% |
| r | 225 | 5.7% |
| t | 200 | 5.0% |
| E | 172 | 4.3% |
| a | 159 | 4.0% |
| Other values (8) | 670 |
role_numeric
Categorical
High correlation
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 29.8 KiB |
| 4 | |
|---|---|
| 2 | |
| 3 | |
| 0 | |
| 1 | 12 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 2 |
| 4th row | 3 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 172 | |
| 3 | 135 | |
| 0 | 53 | 8.7% |
| 1 | 12 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 172 | |
| 3 | 135 | |
| 0 | 53 | 8.7% |
| 1 | 12 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 172 | |
| 3 | 135 | |
| 0 | 53 | 8.7% |
| 1 | 12 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 172 | |
| 3 | 135 | |
| 0 | 53 | 8.7% |
| 1 | 12 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 172 | |
| 3 | 135 | |
| 0 | 53 | 8.7% |
| 1 | 12 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 4 | 235 | |
| 2 | 172 | |
| 3 | 135 | |
| 0 | 53 | 8.7% |
| 1 | 12 | 2.0% |
remote_Onsite
Boolean
High correlation
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 480 | |
| True | 127 | 20.9% |
remote_Remote
Boolean
High correlation
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 381 | |
| False | 226 |
company_size_num
Categorical
High correlation
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 29.8 KiB |
| 2 | |
|---|---|
| 3 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 1 |
| 3rd row | 2 |
| 4th row | 1 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 326 | |
| 3 | 198 | |
| 1 | 83 | 13.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2 | 326 | |
| 3 | 198 | |
| 1 | 83 | 13.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 326 | |
| 3 | 198 | |
| 1 | 83 | 13.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 2 | 326 | |
| 3 | 198 | |
| 1 | 83 | 13.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 2 | 326 | |
| 3 | 198 | |
| 1 | 83 | 13.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 607 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 2 | 326 | |
| 3 | 198 | |
| 1 | 83 | 13.7% |
country_France
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 15 |
| Value | Count | Frequency (%) |
| False | 592 | |
| True | 15 | 2.5% |
country_Germany
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 28 |
| Value | Count | Frequency (%) |
| False | 579 | |
| True | 28 | 4.6% |
country_Greece
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 11 |
| Value | Count | Frequency (%) |
| False | 596 | |
| True | 11 | 1.8% |
country_India
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 24 |
| Value | Count | Frequency (%) |
| False | 583 | |
| True | 24 | 4.0% |
country_Japan
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 6 |
| Value | Count | Frequency (%) |
| False | 601 | |
| True | 6 | 1.0% |
country_Netherlands
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 4 |
| Value | Count | Frequency (%) |
| False | 603 | |
| True | 4 | 0.7% |
country_Other
Boolean
High correlation
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 534 | |
| True | 73 | 12.0% |
country_Spain
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 14 |
| Value | Count | Frequency (%) |
| False | 593 | |
| True | 14 | 2.3% |
country_United Kingdom
Boolean
High correlation Imbalance
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| False | |
|---|---|
| True | 47 |
| Value | Count | Frequency (%) |
| False | 560 | |
| True | 47 | 7.7% |
country_United States
Boolean
High correlation
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 739.0 B |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 355 | |
| False | 252 |
exp_x_role
Real number (ℝ)
High correlation Zeros
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.5930807 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 53 |
| Zeros (%) | 8.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 12 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.5693254 |
|---|---|
| Coefficient of variation (CV) | 0.54137445 |
| Kurtosis | -0.6793716 |
| Mean | 6.5930807 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.034415136 |
| Sum | 4002 |
| Variance | 12.740084 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 6 | 124 | |
| 12 | 105 | |
| 4 | 104 | |
| 8 | 99 | |
| 9 | 70 | |
| 0 | 53 | |
| 3 | 28 | 4.6% |
| 2 | 22 | 3.6% |
| 16 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 53 | |
| 2 | 22 | 3.6% |
| 3 | 28 | 4.6% |
| 4 | 104 | |
| 6 | 124 | |
| 8 | 99 | |
| 9 | 70 | |
| 12 | 105 | |
| 16 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 16 | 2 | 0.3% |
| 12 | 105 | |
| 9 | 70 | |
| 8 | 99 | |
| 6 | 124 | |
| 4 | 104 | |
| 3 | 28 | 4.6% |
| 2 | 22 | 3.6% |
| 0 | 53 |
exp_x_remote
Real number (ℝ)
High correlation Zeros
| Distinct | 7 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.7347611 |
| Minimum | 0 |
|---|---|
| Maximum | 4 |
| Zeros | 127 |
| Zeros (%) | 20.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.75 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 3 |
| Maximum | 4 |
| Range | 4 |
| Interquartile range (IQR) | 2.25 |
Descriptive statistics
| Standard deviation | 1.2120793 |
|---|---|
| Coefficient of variation (CV) | 0.69870098 |
| Kurtosis | -1.3011954 |
| Mean | 1.7347611 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.12272704 |
| Sum | 1053 |
| Variance | 1.4691362 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 3 | 199 | |
| 0 | 127 | |
| 2 | 120 | |
| 1 | 91 | |
| 1.5 | 27 | 4.4% |
| 0.5 | 25 | 4.1% |
| 4 | 18 | 3.0% |
| Value | Count | Frequency (%) |
| 0 | 127 | |
| 0.5 | 25 | 4.1% |
| 1 | 91 | |
| 1.5 | 27 | 4.4% |
| 2 | 120 | |
| 3 | 199 | |
| 4 | 18 | 3.0% |
| Value | Count | Frequency (%) |
| 4 | 18 | 3.0% |
| 3 | 199 | |
| 2 | 120 | |
| 1.5 | 27 | 4.4% |
| 1 | 91 | |
| 0.5 | 25 | 4.1% |
| 0 | 127 |
size_x_gdp
Real number (ℝ)
High correlation
| Distinct | 127 |
|---|---|
| Distinct (%) | 20.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 130725.43 |
| Minimum | 1907.0425 |
|---|---|
| Maximum | 404897.45 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.9 KiB |
Quantile statistics
| Minimum | 1907.0425 |
|---|---|
| 5-th percentile | 7042.3449 |
| Q1 | 82627.505 |
| median | 155721.82 |
| Q3 | 155721.82 |
| 95-th percentile | 233582.73 |
| Maximum | 404897.45 |
| Range | 402990.4 |
| Interquartile range (IQR) | 73094.318 |
Descriptive statistics
| Standard deviation | 63951.324 |
|---|---|
| Coefficient of variation (CV) | 0.48920338 |
| Kurtosis | -0.19705682 |
| Mean | 130725.43 |
| Median Absolute Deviation (MAD) | 44200.196 |
| Skewness | -0.20412764 |
| Sum | 79350337 |
| Variance | 4.0897718 × 109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 155721.8226 | 192 | |
| 213922.2052 | 59 | 9.7% |
| 233582.7339 | 29 | 4.8% |
| 92125.98282 | 28 | 4.6% |
| 71307.40173 | 21 | 3.5% |
| 142614.8035 | 19 | 3.1% |
| 193204.5223 | 18 | 3.0% |
| 112513.6015 | 13 | 2.1% |
| 140779.4272 | 9 | 1.5% |
| 6718.841531 | 9 | 1.5% |
| Other values (117) | 210 |
| Value | Count | Frequency (%) |
| 1907.042516 | 1 | 0.2% |
| 2019.657063 | 1 | 0.2% |
| 2061.356221 | 1 | 0.2% |
| 2239.613844 | 3 | |
| 2307.614943 | 1 | 0.2% |
| 2910.638447 | 1 | 0.2% |
| 3076.645627 | 1 | 0.2% |
| 3814.085033 | 1 | 0.2% |
| 3835.192056 | 1 | 0.2% |
| 4479.227687 | 4 |
| Value | Count | Frequency (%) |
| 404897.4463 | 1 | 0.2% |
| 283183.532 | 1 | 0.2% |
| 280994.321 | 1 | 0.2% |
| 247439.3178 | 1 | 0.2% |
| 240168.3865 | 1 | 0.2% |
| 233582.7339 | 29 | |
| 213922.2052 | 59 | |
| 209183.9621 | 1 | 0.2% |
| 194991.041 | 1 | 0.2% |
| 193204.5223 | 18 | 3.0% |
Interactions
Correlations
| Cost of Living Index | Cost of Living Plus Rent Index | Country | GDP | Local Purchasing Power Index | Rent Index | adjusted_salary | company_size | company_size_num | country_France | country_Germany | country_Greece | country_India | country_Japan | country_Netherlands | country_Other | country_Spain | country_United Kingdom | country_United States | employment_type | exp_x_remote | exp_x_role | experience_level | experience_numeric | gdp_to_power_ratio | job_title | log_salary | remote_Onsite | remote_Remote | remote_ratio | rent_burden_ratio | role_category | role_numeric | salary_in_usd | salary_k | size_x_gdp | work_year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cost of Living Index | 1.000 | 0.974 | 0.965 | 0.873 | 0.925 | 0.952 | 0.428 | 0.161 | 0.161 | 0.256 | 0.370 | 0.769 | 0.916 | 0.449 | 0.086 | 0.618 | 0.703 | 0.497 | 0.974 | 0.000 | 0.294 | 0.209 | 0.232 | 0.232 | 0.811 | 0.285 | 0.615 | 0.092 | 0.296 | 0.253 | 0.854 | 0.053 | 0.053 | 0.615 | 0.616 | 0.713 | 0.196 |
| Cost of Living Plus Rent Index | 0.974 | 1.000 | 0.965 | 0.890 | 0.953 | 0.992 | 0.453 | 0.164 | 0.164 | 0.333 | 0.473 | 0.506 | 0.899 | 0.364 | 0.139 | 0.706 | 0.575 | 0.631 | 0.994 | 0.043 | 0.303 | 0.225 | 0.238 | 0.238 | 0.806 | 0.217 | 0.636 | 0.100 | 0.329 | 0.281 | 0.915 | 0.074 | 0.074 | 0.636 | 0.636 | 0.722 | 0.203 |
| Country | 0.965 | 0.965 | 1.000 | 0.827 | 0.966 | 0.964 | 0.000 | 0.307 | 0.307 | 0.960 | 0.960 | 0.960 | 0.960 | 0.960 | 0.960 | 0.960 | 0.960 | 0.960 | 0.960 | 0.235 | 0.270 | 0.115 | 0.281 | 0.281 | 0.792 | 0.203 | 0.447 | 0.174 | 0.366 | 0.349 | 0.965 | 0.047 | 0.047 | 0.000 | 0.000 | 0.587 | 0.268 |
| GDP | 0.873 | 0.890 | 0.827 | 1.000 | 0.880 | 0.888 | 0.440 | 0.204 | 0.204 | 0.306 | 0.474 | 0.618 | 0.690 | 0.373 | 0.137 | 0.542 | 0.507 | 0.574 | 0.930 | 0.000 | 0.337 | 0.310 | 0.259 | 0.259 | 0.957 | 0.141 | 0.602 | 0.133 | 0.312 | 0.275 | 0.834 | 0.042 | 0.042 | 0.602 | 0.602 | 0.683 | 0.409 |
| Local Purchasing Power Index | 0.925 | 0.953 | 0.966 | 0.880 | 1.000 | 0.948 | 0.444 | 0.147 | 0.147 | 0.495 | 0.460 | 0.746 | 0.699 | 0.178 | 0.127 | 0.650 | 0.523 | 0.615 | 0.993 | 0.061 | 0.271 | 0.216 | 0.220 | 0.220 | 0.758 | 0.175 | 0.612 | 0.123 | 0.325 | 0.284 | 0.896 | 0.084 | 0.084 | 0.612 | 0.612 | 0.703 | 0.208 |
| Rent Index | 0.952 | 0.992 | 0.964 | 0.888 | 0.948 | 1.000 | 0.448 | 0.183 | 0.183 | 0.730 | 0.682 | 0.621 | 0.802 | 0.451 | 0.154 | 0.506 | 0.470 | 0.660 | 0.985 | 0.038 | 0.306 | 0.230 | 0.231 | 0.231 | 0.793 | 0.313 | 0.626 | 0.077 | 0.283 | 0.282 | 0.935 | 0.087 | 0.087 | 0.626 | 0.626 | 0.712 | 0.244 |
| adjusted_salary | 0.428 | 0.453 | 0.000 | 0.440 | 0.444 | 0.448 | 1.000 | 0.197 | 0.197 | 0.115 | 0.000 | 0.020 | 0.125 | 0.174 | 0.000 | 0.268 | 0.000 | 0.057 | 0.437 | 0.165 | 0.357 | 0.255 | 0.350 | 0.350 | 0.393 | 0.341 | 0.950 | 0.000 | 0.154 | 0.119 | 0.432 | 0.144 | 0.144 | 0.950 | 0.950 | 0.413 | 0.189 |
| company_size | 0.161 | 0.164 | 0.307 | 0.204 | 0.147 | 0.183 | 0.197 | 1.000 | 1.000 | 0.000 | 0.084 | 0.053 | 0.086 | 0.245 | 0.102 | 0.199 | 0.000 | 0.042 | 0.202 | 0.028 | 0.276 | 0.190 | 0.205 | 0.205 | 0.376 | 0.304 | 0.201 | 0.070 | 0.139 | 0.203 | 0.195 | 0.139 | 0.139 | 0.175 | 0.175 | 0.702 | 0.420 |
| company_size_num | 0.161 | 0.164 | 0.307 | 0.204 | 0.147 | 0.183 | 0.197 | 1.000 | 1.000 | 0.000 | 0.084 | 0.053 | 0.086 | 0.245 | 0.102 | 0.199 | 0.000 | 0.042 | 0.202 | 0.028 | 0.276 | 0.190 | 0.205 | 0.205 | 0.376 | 0.304 | 0.201 | 0.070 | 0.139 | 0.203 | 0.195 | 0.139 | 0.139 | 0.175 | 0.175 | 0.702 | 0.420 |
| country_France | 0.256 | 0.333 | 0.960 | 0.306 | 0.495 | 0.730 | 0.115 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.013 | 0.000 | 0.000 | 0.174 | 0.000 | 0.185 | 0.088 | 0.068 | 0.068 | 0.313 | 0.000 | 0.190 | 0.000 | 0.146 | 0.241 | 0.654 | 0.057 | 0.057 | 0.081 | 0.111 | 0.101 | 0.127 |
| country_Germany | 0.370 | 0.473 | 0.960 | 0.474 | 0.460 | 0.682 | 0.000 | 0.084 | 0.084 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.056 | 0.000 | 0.027 | 0.250 | 0.069 | 0.141 | 0.083 | 0.148 | 0.148 | 0.199 | 0.285 | 0.026 | 0.000 | 0.072 | 0.125 | 0.832 | 0.100 | 0.100 | 0.000 | 0.000 | 0.153 | 0.145 |
| country_Greece | 0.769 | 0.506 | 0.960 | 0.618 | 0.746 | 0.621 | 0.020 | 0.053 | 0.053 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.143 | 0.000 | 0.166 | 0.160 | 0.143 | 0.143 | 0.260 | 0.378 | 0.125 | 0.000 | 0.000 | 0.000 | 0.473 | 0.125 | 0.125 | 0.109 | 0.107 | 0.308 | 0.060 |
| country_India | 0.916 | 0.899 | 0.960 | 0.690 | 0.699 | 0.802 | 0.125 | 0.086 | 0.086 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.047 | 0.000 | 0.014 | 0.229 | 0.000 | 0.117 | 0.149 | 0.135 | 0.135 | 0.839 | 0.294 | 0.506 | 0.000 | 0.047 | 0.056 | 0.717 | 0.000 | 0.000 | 0.275 | 0.274 | 0.530 | 0.136 |
| country_Japan | 0.449 | 0.364 | 0.960 | 0.373 | 0.178 | 0.451 | 0.174 | 0.245 | 0.245 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.093 | 0.000 | 0.123 | 0.044 | 0.000 | 0.000 | 0.175 | 0.268 | 0.000 | 0.000 | 0.067 | 0.088 | 0.401 | 0.000 | 0.000 | 0.051 | 0.051 | 0.244 | 0.092 |
| country_Netherlands | 0.086 | 0.139 | 0.960 | 0.137 | 0.127 | 0.154 | 0.000 | 0.102 | 0.102 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.064 | 0.132 | 0.056 | 0.000 | 0.000 | 0.000 | 0.050 | 0.000 | 0.134 | 0.000 | 0.000 | 0.000 | 0.147 | 0.000 | 0.000 | 0.000 | 0.000 | 0.265 | 0.000 |
| country_Other | 0.618 | 0.706 | 0.960 | 0.542 | 0.650 | 0.506 | 0.268 | 0.199 | 0.199 | 0.013 | 0.056 | 0.000 | 0.047 | 0.000 | 0.000 | 1.000 | 0.000 | 0.089 | 0.432 | 0.043 | 0.219 | 0.195 | 0.197 | 0.197 | 0.616 | 0.300 | 0.421 | 0.000 | 0.155 | 0.187 | 0.518 | 0.128 | 0.128 | 0.336 | 0.337 | 0.450 | 0.198 |
| country_Spain | 0.703 | 0.575 | 0.960 | 0.507 | 0.523 | 0.470 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.166 | 0.000 | 0.218 | 0.021 | 0.135 | 0.135 | 0.305 | 0.000 | 0.157 | 0.051 | 0.046 | 0.061 | 0.733 | 0.000 | 0.000 | 0.105 | 0.103 | 0.260 | 0.000 |
| country_United Kingdom | 0.497 | 0.631 | 0.960 | 0.574 | 0.615 | 0.660 | 0.057 | 0.042 | 0.042 | 0.000 | 0.027 | 0.000 | 0.014 | 0.000 | 0.000 | 0.089 | 0.000 | 1.000 | 0.335 | 0.000 | 0.167 | 0.159 | 0.164 | 0.164 | 0.595 | 0.000 | 0.210 | 0.125 | 0.148 | 0.155 | 0.655 | 0.133 | 0.133 | 0.176 | 0.175 | 0.448 | 0.000 |
| country_United States | 0.974 | 0.994 | 0.960 | 0.930 | 0.993 | 0.985 | 0.437 | 0.202 | 0.202 | 0.174 | 0.250 | 0.143 | 0.229 | 0.093 | 0.064 | 0.432 | 0.166 | 0.335 | 1.000 | 0.086 | 0.419 | 0.353 | 0.370 | 0.370 | 0.773 | 0.263 | 0.596 | 0.000 | 0.293 | 0.361 | 0.981 | 0.160 | 0.160 | 0.572 | 0.576 | 0.770 | 0.263 |
| employment_type | 0.000 | 0.043 | 0.235 | 0.000 | 0.061 | 0.038 | 0.165 | 0.028 | 0.028 | 0.000 | 0.069 | 0.000 | 0.000 | 0.000 | 0.132 | 0.043 | 0.000 | 0.000 | 0.086 | 1.000 | 0.146 | 0.198 | 0.122 | 0.122 | 0.069 | 0.347 | 0.206 | 0.043 | 0.064 | 0.100 | 0.153 | 0.000 | 0.000 | 0.149 | 0.149 | 0.039 | 0.040 |
| exp_x_remote | 0.294 | 0.303 | 0.270 | 0.337 | 0.271 | 0.306 | 0.357 | 0.276 | 0.276 | 0.185 | 0.141 | 0.166 | 0.117 | 0.123 | 0.056 | 0.219 | 0.218 | 0.167 | 0.419 | 0.146 | 1.000 | 0.278 | 0.795 | 0.795 | 0.335 | 0.221 | 0.386 | 0.996 | 0.893 | 0.905 | 0.310 | 0.110 | 0.110 | 0.386 | 0.386 | 0.207 | 0.306 |
| exp_x_role | 0.209 | 0.225 | 0.115 | 0.310 | 0.216 | 0.230 | 0.255 | 0.190 | 0.190 | 0.088 | 0.083 | 0.160 | 0.149 | 0.044 | 0.000 | 0.195 | 0.021 | 0.159 | 0.353 | 0.198 | 0.278 | 1.000 | 0.629 | 0.629 | 0.304 | 0.624 | 0.266 | 0.000 | 0.165 | 0.149 | 0.233 | 0.761 | 0.761 | 0.266 | 0.266 | 0.179 | 0.229 |
| experience_level | 0.232 | 0.238 | 0.281 | 0.259 | 0.220 | 0.231 | 0.350 | 0.205 | 0.205 | 0.068 | 0.148 | 0.143 | 0.135 | 0.000 | 0.000 | 0.197 | 0.135 | 0.164 | 0.370 | 0.122 | 0.795 | 0.629 | 1.000 | 1.000 | 0.286 | 0.366 | 0.327 | 0.080 | 0.155 | 0.138 | 0.227 | 0.170 | 0.170 | 0.358 | 0.359 | 0.264 | 0.230 |
| experience_numeric | 0.232 | 0.238 | 0.281 | 0.259 | 0.220 | 0.231 | 0.350 | 0.205 | 0.205 | 0.068 | 0.148 | 0.143 | 0.135 | 0.000 | 0.000 | 0.197 | 0.135 | 0.164 | 0.370 | 0.122 | 0.795 | 0.629 | 1.000 | 1.000 | 0.286 | 0.366 | 0.327 | 0.080 | 0.155 | 0.138 | 0.227 | 0.170 | 0.170 | 0.358 | 0.359 | 0.264 | 0.230 |
| gdp_to_power_ratio | 0.811 | 0.806 | 0.792 | 0.957 | 0.758 | 0.793 | 0.393 | 0.376 | 0.376 | 0.313 | 0.199 | 0.260 | 0.839 | 0.175 | 0.050 | 0.616 | 0.305 | 0.595 | 0.773 | 0.069 | 0.335 | 0.304 | 0.286 | 0.286 | 1.000 | 0.247 | 0.552 | 0.068 | 0.243 | 0.228 | 0.736 | 0.090 | 0.090 | 0.552 | 0.552 | 0.647 | 0.591 |
| job_title | 0.285 | 0.217 | 0.203 | 0.141 | 0.175 | 0.313 | 0.341 | 0.304 | 0.304 | 0.000 | 0.285 | 0.378 | 0.294 | 0.268 | 0.000 | 0.300 | 0.000 | 0.000 | 0.263 | 0.347 | 0.221 | 0.624 | 0.366 | 0.366 | 0.247 | 1.000 | 0.236 | 0.000 | 0.187 | 0.180 | 0.274 | 0.962 | 0.962 | 0.326 | 0.326 | 0.235 | 0.260 |
| log_salary | 0.615 | 0.636 | 0.447 | 0.602 | 0.612 | 0.626 | 0.950 | 0.201 | 0.201 | 0.190 | 0.026 | 0.125 | 0.506 | 0.000 | 0.134 | 0.421 | 0.157 | 0.210 | 0.596 | 0.206 | 0.386 | 0.266 | 0.327 | 0.327 | 0.552 | 0.236 | 1.000 | 0.000 | 0.198 | 0.170 | 0.583 | 0.099 | 0.099 | 1.000 | 1.000 | 0.557 | 0.231 |
| remote_Onsite | 0.092 | 0.100 | 0.174 | 0.133 | 0.123 | 0.077 | 0.000 | 0.070 | 0.070 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.051 | 0.125 | 0.000 | 0.043 | 0.996 | 0.000 | 0.080 | 0.080 | 0.068 | 0.000 | 0.000 | 1.000 | 0.663 | 0.999 | 0.029 | 0.000 | 0.000 | 0.000 | 0.000 | 0.163 | 0.082 |
| remote_Remote | 0.296 | 0.329 | 0.366 | 0.312 | 0.325 | 0.283 | 0.154 | 0.139 | 0.139 | 0.146 | 0.072 | 0.000 | 0.047 | 0.067 | 0.000 | 0.155 | 0.046 | 0.148 | 0.293 | 0.064 | 0.893 | 0.165 | 0.155 | 0.155 | 0.243 | 0.187 | 0.198 | 0.663 | 1.000 | 0.999 | 0.351 | 0.131 | 0.131 | 0.200 | 0.205 | 0.199 | 0.187 |
| remote_ratio | 0.253 | 0.281 | 0.349 | 0.275 | 0.284 | 0.282 | 0.119 | 0.203 | 0.203 | 0.241 | 0.125 | 0.000 | 0.056 | 0.088 | 0.000 | 0.187 | 0.061 | 0.155 | 0.361 | 0.100 | 0.905 | 0.149 | 0.138 | 0.138 | 0.228 | 0.180 | 0.170 | 0.999 | 0.999 | 1.000 | 0.311 | 0.118 | 0.118 | 0.152 | 0.156 | 0.164 | 0.247 |
| rent_burden_ratio | 0.854 | 0.915 | 0.965 | 0.834 | 0.896 | 0.935 | 0.432 | 0.195 | 0.195 | 0.654 | 0.832 | 0.473 | 0.717 | 0.401 | 0.147 | 0.518 | 0.733 | 0.655 | 0.981 | 0.153 | 0.310 | 0.233 | 0.227 | 0.227 | 0.736 | 0.274 | 0.583 | 0.029 | 0.351 | 0.311 | 1.000 | 0.093 | 0.093 | 0.583 | 0.583 | 0.650 | 0.239 |
| role_category | 0.053 | 0.074 | 0.047 | 0.042 | 0.084 | 0.087 | 0.144 | 0.139 | 0.139 | 0.057 | 0.100 | 0.125 | 0.000 | 0.000 | 0.000 | 0.128 | 0.000 | 0.133 | 0.160 | 0.000 | 0.110 | 0.761 | 0.170 | 0.170 | 0.090 | 0.962 | 0.099 | 0.000 | 0.131 | 0.118 | 0.093 | 1.000 | 1.000 | 0.094 | 0.092 | 0.030 | 0.116 |
| role_numeric | 0.053 | 0.074 | 0.047 | 0.042 | 0.084 | 0.087 | 0.144 | 0.139 | 0.139 | 0.057 | 0.100 | 0.125 | 0.000 | 0.000 | 0.000 | 0.128 | 0.000 | 0.133 | 0.160 | 0.000 | 0.110 | 0.761 | 0.170 | 0.170 | 0.090 | 0.962 | 0.099 | 0.000 | 0.131 | 0.118 | 0.093 | 1.000 | 1.000 | 0.094 | 0.092 | 0.030 | 0.116 |
| salary_in_usd | 0.615 | 0.636 | 0.000 | 0.602 | 0.612 | 0.626 | 0.950 | 0.175 | 0.175 | 0.081 | 0.000 | 0.109 | 0.275 | 0.051 | 0.000 | 0.336 | 0.105 | 0.176 | 0.572 | 0.149 | 0.386 | 0.266 | 0.358 | 0.358 | 0.552 | 0.326 | 1.000 | 0.000 | 0.200 | 0.152 | 0.583 | 0.094 | 0.094 | 1.000 | 1.000 | 0.557 | 0.211 |
| salary_k | 0.616 | 0.636 | 0.000 | 0.602 | 0.612 | 0.626 | 0.950 | 0.175 | 0.175 | 0.111 | 0.000 | 0.107 | 0.274 | 0.051 | 0.000 | 0.337 | 0.103 | 0.175 | 0.576 | 0.149 | 0.386 | 0.266 | 0.359 | 0.359 | 0.552 | 0.326 | 1.000 | 0.000 | 0.205 | 0.156 | 0.583 | 0.092 | 0.092 | 1.000 | 1.000 | 0.557 | 0.211 |
| size_x_gdp | 0.713 | 0.722 | 0.587 | 0.683 | 0.703 | 0.712 | 0.413 | 0.702 | 0.702 | 0.101 | 0.153 | 0.308 | 0.530 | 0.244 | 0.265 | 0.450 | 0.260 | 0.448 | 0.770 | 0.039 | 0.207 | 0.179 | 0.264 | 0.264 | 0.647 | 0.235 | 0.557 | 0.163 | 0.199 | 0.164 | 0.650 | 0.030 | 0.030 | 0.557 | 0.557 | 1.000 | 0.432 |
| work_year | 0.196 | 0.203 | 0.268 | 0.409 | 0.208 | 0.244 | 0.189 | 0.420 | 0.420 | 0.127 | 0.145 | 0.060 | 0.136 | 0.092 | 0.000 | 0.198 | 0.000 | 0.000 | 0.263 | 0.040 | 0.306 | 0.229 | 0.230 | 0.230 | 0.591 | 0.260 | 0.231 | 0.082 | 0.187 | 0.247 | 0.239 | 0.116 | 0.116 | 0.211 | 0.211 | 0.432 | 1.000 |
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| Country | work_year | experience_level | employment_type | job_title | salary_in_usd | remote_ratio | company_size | Cost of Living Index | Rent Index | Local Purchasing Power Index | Cost of Living Plus Rent Index | GDP | log_salary | experience_numeric | salary_k | adjusted_salary | rent_burden_ratio | gdp_to_power_ratio | role_category | role_numeric | remote_Onsite | remote_Remote | company_size_num | country_France | country_Germany | country_Greece | country_India | country_Japan | country_Netherlands | country_Other | country_Spain | country_United Kingdom | country_United States | exp_x_role | exp_x_remote | size_x_gdp | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Germany | 2020 | Mid | FT | Data Scientist | 79833 | 0 | L | 62.200000 | 24.400000 | 120.200000 | 44.000000 | 47379.765195 | 11.287705 | 2 | 79.8 | 1283.49 | 0.555 | 394.174 | AI | 4 | True | False | 3 | False | True | False | False | False | False | False | False | False | False | 8 | 0.0 | 142139.295584 |
| 1 | Japan | 2020 | Senior | FT | Machine Learning Scientist | 260000 | 0 | S | 46.100000 | 13.400000 | 117.000000 | 30.400000 | 40028.734173 | 12.468441 | 3 | 260.0 | 5639.91 | 0.441 | 342.126 | AI | 4 | True | False | 1 | False | False | False | False | True | False | False | False | False | False | 12 | 0.0 | 40028.734173 |
| 2 | United Kingdom | 2020 | Senior | FT | Big Data Engineer | 109024 | 50 | M | 62.000000 | 31.100000 | 115.200000 | 47.100000 | 40404.806224 | 11.599332 | 3 | 109.0 | 1758.45 | 0.660 | 350.736 | Engineering | 2 | False | False | 2 | False | False | False | False | False | False | False | False | True | False | 6 | 1.5 | 80809.612448 |
| 3 | Honduras | 2020 | Mid | FT | Product Data Analyst | 20000 | 0 | S | 63.606218 | 34.282185 | 124.588908 | 49.507227 | 2307.614943 | 9.903538 | 2 | 20.0 | 314.43 | 0.692 | 18.522 | Analytics | 3 | True | False | 1 | False | False | False | False | False | False | True | False | False | False | 6 | 0.0 | 2307.614943 |
| 4 | United States | 2020 | Senior | FT | Machine Learning Engineer | 150000 | 50 | L | 70.400000 | 41.700000 | 142.300000 | 56.600000 | 64401.507435 | 11.918397 | 3 | 150.0 | 2130.68 | 0.737 | 452.576 | AI | 4 | False | False | 3 | False | False | False | False | False | False | False | False | False | True | 12 | 1.5 | 193204.522306 |
| 5 | United States | 2020 | Entry | FT | Data Analyst | 72000 | 100 | L | 70.400000 | 41.700000 | 142.300000 | 56.600000 | 64401.507435 | 11.184435 | 1 | 72.0 | 1022.73 | 0.737 | 452.576 | Analytics | 3 | False | True | 3 | False | False | False | False | False | False | False | False | False | True | 3 | 1.0 | 193204.522306 |
| 6 | United States | 2020 | Senior | FT | Lead Data Scientist | 190000 | 100 | S | 70.400000 | 41.700000 | 142.300000 | 56.600000 | 64401.507435 | 12.154785 | 3 | 190.0 | 2698.86 | 0.737 | 452.576 | AI | 4 | False | True | 1 | False | False | False | False | False | False | False | False | False | True | 12 | 3.0 | 64401.507435 |
| 7 | Hungary | 2020 | Mid | FT | Data Scientist | 35735 | 50 | L | 41.700000 | 11.300000 | 63.400000 | 27.100000 | 16386.930882 | 10.483914 | 2 | 35.7 | 856.95 | 0.417 | 258.469 | AI | 4 | False | False | 3 | False | False | False | False | False | False | True | False | False | False | 8 | 1.0 | 49160.792646 |
| 8 | United States | 2020 | Mid | FT | Business Data Analyst | 135000 | 100 | L | 70.400000 | 41.700000 | 142.300000 | 56.600000 | 64401.507435 | 11.813037 | 2 | 135.0 | 1917.61 | 0.737 | 452.576 | Analytics | 3 | False | True | 3 | False | False | False | False | False | False | False | False | False | True | 6 | 2.0 | 193204.522306 |
| 9 | New Zealand | 2020 | Senior | FT | Lead Data Engineer | 125000 | 50 | S | 64.600000 | 25.900000 | 121.000000 | 46.000000 | 41850.920328 | 11.736077 | 3 | 125.0 | 1934.98 | 0.563 | 345.875 | Engineering | 2 | False | False | 1 | False | False | False | False | False | False | True | False | False | False | 6 | 1.5 | 41850.920328 |
| Country | work_year | experience_level | employment_type | job_title | salary_in_usd | remote_ratio | company_size | Cost of Living Index | Rent Index | Local Purchasing Power Index | Cost of Living Plus Rent Index | GDP | log_salary | experience_numeric | salary_k | adjusted_salary | rent_burden_ratio | gdp_to_power_ratio | role_category | role_numeric | remote_Onsite | remote_Remote | company_size_num | country_France | country_Germany | country_Greece | country_India | country_Japan | country_Netherlands | country_Other | country_Spain | country_United Kingdom | country_United States | exp_x_role | exp_x_remote | size_x_gdp | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 597 | United States | 2022 | Senior | FT | Data Analyst | 170000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 12.043560 | 3 | 170.0 | 2414.77 | 0.737 | 547.160 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 9 | 3.0 | 155721.822582 |
| 598 | United States | 2022 | Mid | FT | Data Scientist | 160000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.982935 | 2 | 160.0 | 2272.73 | 0.737 | 547.160 | AI | 4 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 8 | 2.0 | 155721.822582 |
| 599 | United States | 2022 | Mid | FT | Data Scientist | 130000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.775297 | 2 | 130.0 | 1846.59 | 0.737 | 547.160 | AI | 4 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 8 | 2.0 | 155721.822582 |
| 600 | Canada | 2022 | Entry | FT | Data Analyst | 67000 | 0 | M | 64.8 | 33.2 | 103.7 | 49.6 | 56256.800726 | 11.112463 | 1 | 67.0 | 1033.95 | 0.669 | 542.496 | Analytics | 3 | True | False | 2 | False | False | False | False | False | False | False | False | False | False | 3 | 0.0 | 112513.601453 |
| 601 | Canada | 2022 | Entry | FT | Data Analyst | 52000 | 0 | M | 64.8 | 33.2 | 103.7 | 49.6 | 56256.800726 | 10.859018 | 1 | 52.0 | 802.47 | 0.669 | 542.496 | Analytics | 3 | True | False | 2 | False | False | False | False | False | False | False | False | False | False | 3 | 0.0 | 112513.601453 |
| 602 | United States | 2022 | Senior | FT | Data Engineer | 154000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.944714 | 3 | 154.0 | 2187.50 | 0.737 | 547.160 | Engineering | 2 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 6 | 3.0 | 155721.822582 |
| 603 | United States | 2022 | Senior | FT | Data Engineer | 126000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.744045 | 3 | 126.0 | 1789.77 | 0.737 | 547.160 | Engineering | 2 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 6 | 3.0 | 155721.822582 |
| 604 | United States | 2022 | Senior | FT | Data Analyst | 129000 | 0 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.767575 | 3 | 129.0 | 1832.39 | 0.737 | 547.160 | Analytics | 3 | True | False | 2 | False | False | False | False | False | False | False | False | False | True | 9 | 0.0 | 155721.822582 |
| 605 | United States | 2022 | Senior | FT | Data Analyst | 150000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.918397 | 3 | 150.0 | 2130.68 | 0.737 | 547.160 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 9 | 3.0 | 155721.822582 |
| 606 | United States | 2022 | Mid | FT | AI Scientist | 200000 | 100 | L | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 12.206078 | 2 | 200.0 | 2840.91 | 0.737 | 547.160 | AI | 4 | False | True | 3 | False | False | False | False | False | False | False | False | False | True | 8 | 2.0 | 233582.733873 |
Duplicate rows
Most frequently occurring
| Country | work_year | experience_level | employment_type | job_title | salary_in_usd | remote_ratio | company_size | Cost of Living Index | Rent Index | Local Purchasing Power Index | Cost of Living Plus Rent Index | GDP | log_salary | experience_numeric | salary_k | adjusted_salary | rent_burden_ratio | gdp_to_power_ratio | role_category | role_numeric | remote_Onsite | remote_Remote | company_size_num | country_France | country_Germany | country_Greece | country_India | country_Japan | country_Netherlands | country_Other | country_Spain | country_United Kingdom | country_United States | exp_x_role | exp_x_remote | size_x_gdp | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 23 | United States | 2022 | Senior | FT | Data Scientist | 140000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.849405 | 3 | 140.0 | 1988.64 | 0.737 | 547.160 | AI | 4 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 12 | 3.0 | 155721.822582 | 6 |
| 7 | United States | 2022 | Senior | FT | Data Analyst | 90320 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.411125 | 3 | 90.3 | 1282.95 | 0.737 | 547.160 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 9 | 3.0 | 155721.822582 | 5 |
| 10 | United States | 2022 | Senior | FT | Data Analyst | 112900 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.634267 | 3 | 112.9 | 1603.69 | 0.737 | 547.160 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 9 | 3.0 | 155721.822582 | 4 |
| 25 | United States | 2022 | Senior | FT | Data Scientist | 210000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 12.254868 | 3 | 210.0 | 2982.95 | 0.737 | 547.160 | AI | 4 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 12 | 3.0 | 155721.822582 | 4 |
| 12 | United States | 2022 | Senior | FT | Data Analyst | 170000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 12.043560 | 3 | 170.0 | 2414.77 | 0.737 | 547.160 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 9 | 3.0 | 155721.822582 | 3 |
| 22 | United States | 2022 | Senior | FT | Data Scientist | 123000 | 100 | M | 70.4 | 41.7 | 142.3 | 56.6 | 77860.911291 | 11.719948 | 3 | 123.0 | 1747.16 | 0.737 | 547.160 | AI | 4 | False | True | 2 | False | False | False | False | False | False | False | False | False | True | 12 | 3.0 | 155721.822582 | 3 |
| 0 | Canada | 2022 | Senior | FT | Data Analyst | 61300 | 100 | M | 64.8 | 33.2 | 103.7 | 49.6 | 56256.800726 | 11.023551 | 3 | 61.3 | 945.99 | 0.669 | 542.496 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | False | 9 | 3.0 | 112513.601453 | 2 |
| 1 | Canada | 2022 | Senior | FT | Data Analyst | 130000 | 100 | M | 64.8 | 33.2 | 103.7 | 49.6 | 56256.800726 | 11.775297 | 3 | 130.0 | 2006.17 | 0.669 | 542.496 | Analytics | 3 | False | True | 2 | False | False | False | False | False | False | False | False | False | False | 9 | 3.0 | 112513.601453 | 2 |
| 2 | Germany | 2021 | Mid | FT | Data Scientist | 90734 | 50 | L | 62.2 | 24.4 | 120.2 | 44.0 | 52265.654162 | 11.415698 | 2 | 90.7 | 1458.75 | 0.555 | 434.822 | AI | 4 | False | False | 3 | False | True | False | False | False | False | False | False | False | False | 8 | 1.0 | 156796.962486 | 2 |
| 3 | Greece | 2022 | Mid | FT | ETL Developer | 54957 | 0 | M | 52.0 | 12.9 | 53.0 | 33.2 | 20971.834926 | 10.914325 | 2 | 55.0 | 1056.87 | 0.389 | 395.695 | Engineering | 2 | True | False | 2 | False | False | True | False | False | False | False | False | False | False | 4 | 0.0 | 41943.669852 | 2 |